Automotive Environment Sensing

 

Automotive environment sensors

Credits:

Contact hours: 28 lectures /28 lab

Assessment type: exam

Course coordinator: Tamás Bécsi, associate professor 

 

 

 

Instructors: 

Tamás Bécsi, PhD

Szilárd Aradi, PhD

Olivér Törő

 

Course Plan 2019 

Week

 

Lecture

Lab (Matlab exercises)

2019.02.06

1

Introduction (PDF)

A humble engineers guide to computational complexity

(and also the answer to when the World will end) (ZIP)

2019.02.13

2

Introduction to probabilistics (PDF)

 Simple Robot with Bayes Rule discrete localization (TXT)

2019.02.20

3

Localization and Bayes Filtering  (PDF, Livescript results)

Particle Filter Localization, Bayes-KF estimation (ZIP)

2019.02.27

4

State Estimation,Kalman Filters, EKF (PDF)

Various KF/EKF object tracking/state estimation examples (ZIP)

2019.03.06

5

SLAM (PDF)

EKF SLAM problem (ZIP)

2019.03.13

6

Environment representation and Occupancy Grid Mapping (PDF)

Occupancy Grid maps (ZIP)

2019.03.20

 

Spring Break

 

 

7

Exam week

 

2019.04.03

8

Sensing and Measurement (PDF)

 

2019.04.10

9

Faculty profession day

 

2019.04.17

10

Radar (PDF)

Radar demonstration measurement

2019.04.24

11

Ultrasonic/Lidar (PDF1, PDF2)

Lidar demonstration measurement

2019.05.01

12

International Labor Day

 

2019.05.08

13

Exam week

 

2019.05.15

14